Overview

Brought to you by YData

Dataset statistics

Number of variables33
Number of observations569
Missing cells569
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory170.2 KiB
Average record size in memory306.2 B

Variable types

Numeric31
Categorical1
Unsupported1

Alerts

area_mean is highly overall correlated with area_se and 12 other fieldsHigh correlation
area_se is highly overall correlated with area_mean and 14 other fieldsHigh correlation
area_worst is highly overall correlated with area_mean and 14 other fieldsHigh correlation
compactness_mean is highly overall correlated with area_se and 20 other fieldsHigh correlation
compactness_se is highly overall correlated with compactness_mean and 10 other fieldsHigh correlation
compactness_worst is highly overall correlated with area_worst and 16 other fieldsHigh correlation
concave points_mean is highly overall correlated with area_mean and 18 other fieldsHigh correlation
concave points_se is highly overall correlated with area_se and 11 other fieldsHigh correlation
concave points_worst is highly overall correlated with area_mean and 19 other fieldsHigh correlation
concavity_mean is highly overall correlated with area_mean and 20 other fieldsHigh correlation
concavity_se is highly overall correlated with compactness_mean and 10 other fieldsHigh correlation
concavity_worst is highly overall correlated with area_mean and 17 other fieldsHigh correlation
diagnosis is highly overall correlated with area_mean and 14 other fieldsHigh correlation
fractal_dimension_mean is highly overall correlated with fractal_dimension_se and 2 other fieldsHigh correlation
fractal_dimension_se is highly overall correlated with compactness_mean and 7 other fieldsHigh correlation
fractal_dimension_worst is highly overall correlated with compactness_mean and 10 other fieldsHigh correlation
perimeter_mean is highly overall correlated with area_mean and 14 other fieldsHigh correlation
perimeter_se is highly overall correlated with area_mean and 15 other fieldsHigh correlation
perimeter_worst is highly overall correlated with area_mean and 14 other fieldsHigh correlation
radius_mean is highly overall correlated with area_mean and 12 other fieldsHigh correlation
radius_se is highly overall correlated with area_mean and 13 other fieldsHigh correlation
radius_worst is highly overall correlated with area_mean and 14 other fieldsHigh correlation
smoothness_mean is highly overall correlated with compactness_mean and 6 other fieldsHigh correlation
smoothness_worst is highly overall correlated with compactness_mean and 6 other fieldsHigh correlation
symmetry_mean is highly overall correlated with compactness_mean and 2 other fieldsHigh correlation
symmetry_worst is highly overall correlated with compactness_worst and 2 other fieldsHigh correlation
texture_mean is highly overall correlated with texture_worstHigh correlation
texture_worst is highly overall correlated with texture_meanHigh correlation
Unnamed: 32 has 569 (100.0%) missing valuesMissing
id has unique valuesUnique
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported
concavity_mean has 13 (2.3%) zerosZeros
concave points_mean has 13 (2.3%) zerosZeros
concavity_se has 13 (2.3%) zerosZeros
concave points_se has 13 (2.3%) zerosZeros
concavity_worst has 13 (2.3%) zerosZeros
concave points_worst has 13 (2.3%) zerosZeros

Reproduction

Analysis started2025-10-16 10:06:02.594340
Analysis finished2025-10-16 10:07:27.607766
Duration1 minute and 25.01 seconds
Software versionydata-profiling vv4.17.0
Download configurationconfig.json

Variables

id
Real number (ℝ)

Unique 

Distinct569
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30371831
Minimum8670
Maximum9.113205 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:27.719856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum8670
5-th percentile90267
Q1869218
median906024
Q38813129
95-th percentile90424461
Maximum9.113205 × 108
Range9.1131183 × 108
Interquartile range (IQR)7943911

Descriptive statistics

Standard deviation1.2502059 × 108
Coefficient of variation (CV)4.1163334
Kurtosis42.193194
Mean30371831
Median Absolute Deviation (MAD)44225
Skewness6.4737518
Sum1.7281572 × 1010
Variance1.5630147 × 1016
MonotonicityNot monotonic
2025-10-16T13:07:27.835912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
927511
 
0.2%
8423021
 
0.2%
8425171
 
0.2%
843009031
 
0.2%
843483011
 
0.2%
843584021
 
0.2%
8437861
 
0.2%
8443591
 
0.2%
844582021
 
0.2%
9240841
 
0.2%
Other values (559)559
98.2%
ValueCountFrequency (%)
86701
0.2%
89131
0.2%
89151
0.2%
90471
0.2%
857151
0.2%
862081
0.2%
862111
0.2%
863551
0.2%
864081
0.2%
864091
0.2%
ValueCountFrequency (%)
9113205021
0.2%
9113205011
0.2%
9112962021
0.2%
9112962011
0.2%
9111573021
0.2%
9010343021
0.2%
9010343011
0.2%
8810948021
0.2%
8810465021
0.2%
8710015021
0.2%

diagnosis
Categorical

High correlation 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
B
357 
M
212 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters569
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowM
3rd rowM
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
B357
62.7%
M212
37.3%

Length

2025-10-16T13:07:27.931621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-10-16T13:07:28.019635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
b357
62.7%
m212
37.3%

Most occurring characters

ValueCountFrequency (%)
B357
62.7%
M212
37.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)569
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
B357
62.7%
M212
37.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)569
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
B357
62.7%
M212
37.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)569
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
B357
62.7%
M212
37.3%

radius_mean
Real number (ℝ)

High correlation 

Distinct456
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.127292
Minimum6.981
Maximum28.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:28.095165image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum6.981
5-th percentile9.5292
Q111.7
median13.37
Q315.78
95-th percentile20.576
Maximum28.11
Range21.129
Interquartile range (IQR)4.08

Descriptive statistics

Standard deviation3.5240488
Coefficient of variation (CV)0.24944971
Kurtosis0.84552162
Mean14.127292
Median Absolute Deviation (MAD)1.9
Skewness0.94237957
Sum8038.429
Variance12.41892
MonotonicityNot monotonic
2025-10-16T13:07:28.206666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.344
 
0.7%
11.063
 
0.5%
10.263
 
0.5%
12.773
 
0.5%
13.053
 
0.5%
13.853
 
0.5%
12.183
 
0.5%
11.63
 
0.5%
133
 
0.5%
11.713
 
0.5%
Other values (446)538
94.6%
ValueCountFrequency (%)
6.9811
0.2%
7.6911
0.2%
7.7291
0.2%
7.761
0.2%
8.1961
0.2%
8.2191
0.2%
8.5711
0.2%
8.5971
0.2%
8.5981
0.2%
8.6181
0.2%
ValueCountFrequency (%)
28.111
0.2%
27.421
0.2%
27.221
0.2%
25.731
0.2%
25.221
0.2%
24.631
0.2%
24.251
0.2%
23.511
0.2%
23.291
0.2%
23.271
0.2%

texture_mean
Real number (ℝ)

High correlation 

Distinct479
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.289649
Minimum9.71
Maximum39.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:28.302799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum9.71
5-th percentile13.088
Q116.17
median18.84
Q321.8
95-th percentile27.15
Maximum39.28
Range29.57
Interquartile range (IQR)5.63

Descriptive statistics

Standard deviation4.3010358
Coefficient of variation (CV)0.22297118
Kurtosis0.75831897
Mean19.289649
Median Absolute Deviation (MAD)2.81
Skewness0.65044954
Sum10975.81
Variance18.498909
MonotonicityNot monotonic
2025-10-16T13:07:28.429656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.843
 
0.5%
19.833
 
0.5%
15.73
 
0.5%
20.523
 
0.5%
18.223
 
0.5%
14.933
 
0.5%
18.93
 
0.5%
17.463
 
0.5%
16.853
 
0.5%
20.132
 
0.4%
Other values (469)540
94.9%
ValueCountFrequency (%)
9.711
0.2%
10.381
0.2%
10.721
0.2%
10.821
0.2%
10.891
0.2%
10.911
0.2%
10.941
0.2%
11.281
0.2%
11.791
0.2%
11.891
0.2%
ValueCountFrequency (%)
39.281
0.2%
33.811
0.2%
33.561
0.2%
32.471
0.2%
31.121
0.2%
30.721
0.2%
30.621
0.2%
29.971
0.2%
29.811
0.2%
29.431
0.2%

perimeter_mean
Real number (ℝ)

High correlation 

Distinct522
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.969033
Minimum43.79
Maximum188.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:28.536766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum43.79
5-th percentile60.496
Q175.17
median86.24
Q3104.1
95-th percentile135.82
Maximum188.5
Range144.71
Interquartile range (IQR)28.93

Descriptive statistics

Standard deviation24.298981
Coefficient of variation (CV)0.26420829
Kurtosis0.97221355
Mean91.969033
Median Absolute Deviation (MAD)12.71
Skewness0.99065043
Sum52330.38
Variance590.44048
MonotonicityNot monotonic
2025-10-16T13:07:28.648728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.613
 
0.5%
134.73
 
0.5%
87.763
 
0.5%
129.12
 
0.4%
82.692
 
0.4%
132.92
 
0.4%
1302
 
0.4%
81.352
 
0.4%
94.252
 
0.4%
58.792
 
0.4%
Other values (512)546
96.0%
ValueCountFrequency (%)
43.791
0.2%
47.921
0.2%
47.981
0.2%
48.341
0.2%
51.711
0.2%
53.271
0.2%
54.091
0.2%
54.341
0.2%
54.421
0.2%
54.531
0.2%
ValueCountFrequency (%)
188.51
0.2%
186.91
0.2%
182.11
0.2%
174.21
0.2%
171.51
0.2%
166.21
0.2%
165.51
0.2%
158.91
0.2%
155.11
0.2%
153.51
0.2%

area_mean
Real number (ℝ)

High correlation 

Distinct539
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean654.8891
Minimum143.5
Maximum2501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:28.769667image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum143.5
5-th percentile275.78
Q1420.3
median551.1
Q3782.7
95-th percentile1309.8
Maximum2501
Range2357.5
Interquartile range (IQR)362.4

Descriptive statistics

Standard deviation351.91413
Coefficient of variation (CV)0.53736446
Kurtosis3.6523028
Mean654.8891
Median Absolute Deviation (MAD)153.3
Skewness1.6457322
Sum372631.9
Variance123843.55
MonotonicityNot monotonic
2025-10-16T13:07:29.006249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
512.23
 
0.5%
394.12
 
0.4%
399.82
 
0.4%
10762
 
0.4%
582.72
 
0.4%
334.22
 
0.4%
10752
 
0.4%
5612
 
0.4%
716.62
 
0.4%
466.12
 
0.4%
Other values (529)548
96.3%
ValueCountFrequency (%)
143.51
0.2%
170.41
0.2%
178.81
0.2%
1811
0.2%
201.91
0.2%
203.91
0.2%
221.21
0.2%
221.31
0.2%
221.81
0.2%
224.51
0.2%
ValueCountFrequency (%)
25011
0.2%
24991
0.2%
22501
0.2%
20101
0.2%
18781
0.2%
18411
0.2%
17611
0.2%
17471
0.2%
16861
0.2%
16851
0.2%

smoothness_mean
Real number (ℝ)

High correlation 

Distinct474
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.096360281
Minimum0.05263
Maximum0.1634
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:29.121633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.05263
5-th percentile0.075042
Q10.08637
median0.09587
Q30.1053
95-th percentile0.11878
Maximum0.1634
Range0.11077
Interquartile range (IQR)0.01893

Descriptive statistics

Standard deviation0.014064128
Coefficient of variation (CV)0.14595358
Kurtosis0.85597493
Mean0.096360281
Median Absolute Deviation (MAD)0.0095
Skewness0.45632376
Sum54.829
Variance0.0001977997
MonotonicityNot monotonic
2025-10-16T13:07:29.215077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.10075
 
0.9%
0.10544
 
0.7%
0.1154
 
0.7%
0.10754
 
0.7%
0.10493
 
0.5%
0.10963
 
0.5%
0.10893
 
0.5%
0.10443
 
0.5%
0.10823
 
0.5%
0.10663
 
0.5%
Other values (464)534
93.8%
ValueCountFrequency (%)
0.052631
0.2%
0.062511
0.2%
0.064291
0.2%
0.065761
0.2%
0.066131
0.2%
0.068281
0.2%
0.068831
0.2%
0.069351
0.2%
0.06951
0.2%
0.069551
0.2%
ValueCountFrequency (%)
0.16341
0.2%
0.14471
0.2%
0.14251
0.2%
0.13981
0.2%
0.13711
0.2%
0.13351
0.2%
0.13261
0.2%
0.13231
0.2%
0.12911
0.2%
0.12861
0.2%

compactness_mean
Real number (ℝ)

High correlation 

Distinct537
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10434098
Minimum0.01938
Maximum0.3454
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:29.317218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.01938
5-th percentile0.04066
Q10.06492
median0.09263
Q30.1304
95-th percentile0.2087
Maximum0.3454
Range0.32602
Interquartile range (IQR)0.06548

Descriptive statistics

Standard deviation0.052812758
Coefficient of variation (CV)0.50615545
Kurtosis1.6501305
Mean0.10434098
Median Absolute Deviation (MAD)0.03263
Skewness1.190123
Sum59.37002
Variance0.0027891874
MonotonicityNot monotonic
2025-10-16T13:07:29.419749image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.11473
 
0.5%
0.12063
 
0.5%
0.10472
 
0.4%
0.11412
 
0.4%
0.049942
 
0.4%
0.057432
 
0.4%
0.13062
 
0.4%
0.15992
 
0.4%
0.076982
 
0.4%
0.172
 
0.4%
Other values (527)547
96.1%
ValueCountFrequency (%)
0.019381
0.2%
0.023441
0.2%
0.02651
0.2%
0.026751
0.2%
0.031161
0.2%
0.032121
0.2%
0.033931
0.2%
0.033981
0.2%
0.034541
0.2%
0.035151
0.2%
ValueCountFrequency (%)
0.34541
0.2%
0.31141
0.2%
0.28671
0.2%
0.28391
0.2%
0.28321
0.2%
0.27761
0.2%
0.2771
0.2%
0.27681
0.2%
0.26651
0.2%
0.25761
0.2%

concavity_mean
Real number (ℝ)

High correlation  Zeros 

Distinct537
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.088799316
Minimum0
Maximum0.4268
Zeros13
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:29.518164image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0049826
Q10.02956
median0.06154
Q30.1307
95-th percentile0.24302
Maximum0.4268
Range0.4268
Interquartile range (IQR)0.10114

Descriptive statistics

Standard deviation0.079719809
Coefficient of variation (CV)0.89775251
Kurtosis1.9986375
Mean0.088799316
Median Absolute Deviation (MAD)0.04046
Skewness1.4011797
Sum50.526811
Variance0.0063552479
MonotonicityNot monotonic
2025-10-16T13:07:29.621819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
2.3%
0.12043
 
0.5%
0.24482
 
0.4%
0.084222
 
0.4%
0.019722
 
0.4%
0.058922
 
0.4%
0.19742
 
0.4%
0.21332
 
0.4%
0.029952
 
0.4%
0.24172
 
0.4%
Other values (527)537
94.4%
ValueCountFrequency (%)
013
2.3%
0.0006921
 
0.2%
0.00097371
 
0.2%
0.0011941
 
0.2%
0.0014611
 
0.2%
0.0014871
 
0.2%
0.0015461
 
0.2%
0.0015951
 
0.2%
0.0015971
 
0.2%
0.001861
 
0.2%
ValueCountFrequency (%)
0.42681
0.2%
0.42641
0.2%
0.41081
0.2%
0.37541
0.2%
0.36351
0.2%
0.35231
0.2%
0.35141
0.2%
0.33681
0.2%
0.33391
0.2%
0.32011
0.2%

concave points_mean
Real number (ℝ)

High correlation  Zeros 

Distinct542
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.048919146
Minimum0
Maximum0.2012
Zeros13
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:29.709285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0056208
Q10.02031
median0.0335
Q30.074
95-th percentile0.12574
Maximum0.2012
Range0.2012
Interquartile range (IQR)0.05369

Descriptive statistics

Standard deviation0.038802845
Coefficient of variation (CV)0.79320365
Kurtosis1.0665557
Mean0.048919146
Median Absolute Deviation (MAD)0.02014
Skewness1.1711801
Sum27.834994
Variance0.0015056608
MonotonicityNot monotonic
2025-10-16T13:07:29.836405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
2.3%
0.028643
 
0.5%
0.022722
 
0.4%
0.14712
 
0.4%
0.10432
 
0.4%
0.023772
 
0.4%
0.016152
 
0.4%
0.12422
 
0.4%
0.020312
 
0.4%
0.057782
 
0.4%
Other values (532)537
94.4%
ValueCountFrequency (%)
013
2.3%
0.0018521
 
0.2%
0.0024041
 
0.2%
0.0029241
 
0.2%
0.0029411
 
0.2%
0.0031251
 
0.2%
0.0032611
 
0.2%
0.0033331
 
0.2%
0.0034721
 
0.2%
0.0041671
 
0.2%
ValueCountFrequency (%)
0.20121
0.2%
0.19131
0.2%
0.18781
0.2%
0.18451
0.2%
0.18231
0.2%
0.16891
0.2%
0.1621
0.2%
0.16041
0.2%
0.15951
0.2%
0.15621
0.2%

symmetry_mean
Real number (ℝ)

High correlation 

Distinct432
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18116186
Minimum0.106
Maximum0.304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:29.943007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.106
5-th percentile0.1415
Q10.1619
median0.1792
Q30.1957
95-th percentile0.23072
Maximum0.304
Range0.198
Interquartile range (IQR)0.0338

Descriptive statistics

Standard deviation0.027414281
Coefficient of variation (CV)0.15132479
Kurtosis1.287933
Mean0.18116186
Median Absolute Deviation (MAD)0.0171
Skewness0.72560897
Sum103.0811
Variance0.00075154282
MonotonicityNot monotonic
2025-10-16T13:07:30.052447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.17694
 
0.7%
0.18934
 
0.7%
0.17174
 
0.7%
0.17144
 
0.7%
0.16014
 
0.7%
0.21163
 
0.5%
0.1593
 
0.5%
0.18853
 
0.5%
0.16693
 
0.5%
0.15063
 
0.5%
Other values (422)534
93.8%
ValueCountFrequency (%)
0.1061
0.2%
0.11671
0.2%
0.12031
0.2%
0.12151
0.2%
0.1221
0.2%
0.12741
0.2%
0.13051
0.2%
0.13081
0.2%
0.13371
0.2%
0.13391
0.2%
ValueCountFrequency (%)
0.3041
0.2%
0.29061
0.2%
0.27431
0.2%
0.26781
0.2%
0.26551
0.2%
0.25971
0.2%
0.25951
0.2%
0.25691
0.2%
0.25561
0.2%
0.25481
0.2%

fractal_dimension_mean
Real number (ℝ)

High correlation 

Distinct499
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06279761
Minimum0.04996
Maximum0.09744
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:30.151229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.04996
5-th percentile0.053926
Q10.0577
median0.06154
Q30.06612
95-th percentile0.07609
Maximum0.09744
Range0.04748
Interquartile range (IQR)0.00842

Descriptive statistics

Standard deviation0.0070603628
Coefficient of variation (CV)0.11243044
Kurtosis3.0058921
Mean0.06279761
Median Absolute Deviation (MAD)0.00422
Skewness1.3044888
Sum35.73184
Variance4.9848723 × 10-5
MonotonicityNot monotonic
2025-10-16T13:07:30.248621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.067823
 
0.5%
0.061133
 
0.5%
0.059073
 
0.5%
0.056673
 
0.5%
0.059133
 
0.5%
0.05582
 
0.4%
0.060482
 
0.4%
0.053912
 
0.4%
0.059552
 
0.4%
0.063432
 
0.4%
Other values (489)544
95.6%
ValueCountFrequency (%)
0.049961
0.2%
0.050241
0.2%
0.050251
0.2%
0.050441
0.2%
0.050541
0.2%
0.050961
0.2%
0.051761
0.2%
0.051771
0.2%
0.051851
0.2%
0.052231
0.2%
ValueCountFrequency (%)
0.097441
0.2%
0.095751
0.2%
0.095021
0.2%
0.092961
0.2%
0.08981
0.2%
0.087431
0.2%
0.08451
0.2%
0.082611
0.2%
0.082431
0.2%
0.081421
0.2%

radius_se
Real number (ℝ)

High correlation 

Distinct540
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.40517206
Minimum0.1115
Maximum2.873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:30.342834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.1115
5-th percentile0.1601
Q10.2324
median0.3242
Q30.4789
95-th percentile0.95952
Maximum2.873
Range2.7615
Interquartile range (IQR)0.2465

Descriptive statistics

Standard deviation0.27731273
Coefficient of variation (CV)0.68443203
Kurtosis17.686726
Mean0.40517206
Median Absolute Deviation (MAD)0.106
Skewness3.0886122
Sum230.5429
Variance0.076902352
MonotonicityNot monotonic
2025-10-16T13:07:30.428996image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2863
 
0.5%
0.22043
 
0.5%
0.3062
 
0.4%
0.25622
 
0.4%
0.23512
 
0.4%
0.22392
 
0.4%
0.4032
 
0.4%
0.23152
 
0.4%
0.35342
 
0.4%
0.29762
 
0.4%
Other values (530)547
96.1%
ValueCountFrequency (%)
0.11151
0.2%
0.11441
0.2%
0.11531
0.2%
0.11661
0.2%
0.11861
0.2%
0.11941
0.2%
0.11991
0.2%
0.1211
0.2%
0.12671
0.2%
0.13021
0.2%
ValueCountFrequency (%)
2.8731
0.2%
2.5471
0.2%
1.5091
0.2%
1.371
0.2%
1.2961
0.2%
1.2921
0.2%
1.2911
0.2%
1.2151
0.2%
1.2141
0.2%
1.2071
0.2%

texture_se
Real number (ℝ)

Distinct519
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2168534
Minimum0.3602
Maximum4.885
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:30.540052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.3602
5-th percentile0.54014
Q10.8339
median1.108
Q31.474
95-th percentile2.212
Maximum4.885
Range4.5248
Interquartile range (IQR)0.6401

Descriptive statistics

Standard deviation0.55164839
Coefficient of variation (CV)0.45334005
Kurtosis5.3491687
Mean1.2168534
Median Absolute Deviation (MAD)0.3153
Skewness1.6464438
Sum692.3896
Variance0.30431595
MonotonicityNot monotonic
2025-10-16T13:07:30.635448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.85613
 
0.5%
1.353
 
0.5%
1.2683
 
0.5%
1.153
 
0.5%
1.2162
 
0.4%
1.032
 
0.4%
1.6272
 
0.4%
1.1522
 
0.4%
1.3632
 
0.4%
1.2322
 
0.4%
Other values (509)545
95.8%
ValueCountFrequency (%)
0.36021
0.2%
0.36211
0.2%
0.36281
0.2%
0.38711
0.2%
0.39811
0.2%
0.40641
0.2%
0.41251
0.2%
0.43341
0.2%
0.43361
0.2%
0.44021
0.2%
ValueCountFrequency (%)
4.8851
0.2%
3.8961
0.2%
3.6471
0.2%
3.5681
0.2%
3.121
0.2%
2.9271
0.2%
2.911
0.2%
2.9041
0.2%
2.8781
0.2%
2.8361
0.2%

perimeter_se
Real number (ℝ)

High correlation 

Distinct533
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8660592
Minimum0.757
Maximum21.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:30.725256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.757
5-th percentile1.1328
Q11.606
median2.287
Q33.357
95-th percentile7.0416
Maximum21.98
Range21.223
Interquartile range (IQR)1.751

Descriptive statistics

Standard deviation2.0218546
Coefficient of variation (CV)0.70544758
Kurtosis21.401905
Mean2.8660592
Median Absolute Deviation (MAD)0.77
Skewness3.4436152
Sum1630.7877
Variance4.0878958
MonotonicityNot monotonic
2025-10-16T13:07:30.931542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.7784
 
0.7%
1.1432
 
0.4%
2.0412
 
0.4%
2.412
 
0.4%
2.0972
 
0.4%
1.1012
 
0.4%
1.4912
 
0.4%
2.1832
 
0.4%
2.4062
 
0.4%
3.0082
 
0.4%
Other values (523)547
96.1%
ValueCountFrequency (%)
0.7571
0.2%
0.77141
0.2%
0.84391
0.2%
0.84841
0.2%
0.8731
0.2%
0.92191
0.2%
0.9681
0.2%
0.98121
0.2%
0.98571
0.2%
0.98871
0.2%
ValueCountFrequency (%)
21.981
0.2%
18.651
0.2%
11.071
0.2%
10.121
0.2%
10.051
0.2%
9.8071
0.2%
9.6351
0.2%
9.4241
0.2%
8.8671
0.2%
8.831
0.2%

area_se
Real number (ℝ)

High correlation 

Distinct528
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.337079
Minimum6.802
Maximum542.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:31.027303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum6.802
5-th percentile11.36
Q117.85
median24.53
Q345.19
95-th percentile115.8
Maximum542.2
Range535.398
Interquartile range (IQR)27.34

Descriptive statistics

Standard deviation45.491006
Coefficient of variation (CV)1.1277714
Kurtosis49.209077
Mean40.337079
Median Absolute Deviation (MAD)9.19
Skewness5.4471863
Sum22951.798
Variance2069.4316
MonotonicityNot monotonic
2025-10-16T13:07:31.133980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.973
 
0.5%
16.643
 
0.5%
17.673
 
0.5%
18.543
 
0.5%
20.672
 
0.4%
23.922
 
0.4%
20.982
 
0.4%
14.912
 
0.4%
23.122
 
0.4%
20.742
 
0.4%
Other values (518)545
95.8%
ValueCountFrequency (%)
6.8021
0.2%
7.2281
0.2%
7.2541
0.2%
7.3261
0.2%
8.2051
0.2%
8.3221
0.2%
8.6051
0.2%
8.9551
0.2%
8.9661
0.2%
9.0061
0.2%
ValueCountFrequency (%)
542.21
0.2%
525.61
0.2%
2331
0.2%
224.11
0.2%
199.71
0.2%
180.21
0.2%
176.51
0.2%
1701
0.2%
164.11
0.2%
158.71
0.2%

smoothness_se
Real number (ℝ)

Distinct547
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0070409789
Minimum0.001713
Maximum0.03113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:31.229171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.001713
5-th percentile0.0036902
Q10.005169
median0.00638
Q30.008146
95-th percentile0.012644
Maximum0.03113
Range0.029417
Interquartile range (IQR)0.002977

Descriptive statistics

Standard deviation0.0030025179
Coefficient of variation (CV)0.42643473
Kurtosis10.46984
Mean0.0070409789
Median Absolute Deviation (MAD)0.001451
Skewness2.3144501
Sum4.006317
Variance9.015114 × 10-6
MonotonicityNot monotonic
2025-10-16T13:07:31.324636image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.005912
 
0.4%
0.0060642
 
0.4%
0.0071892
 
0.4%
0.0073892
 
0.4%
0.0052512
 
0.4%
0.01382
 
0.4%
0.0055182
 
0.4%
0.010172
 
0.4%
0.012
 
0.4%
0.006042
 
0.4%
Other values (537)549
96.5%
ValueCountFrequency (%)
0.0017131
0.2%
0.0026671
0.2%
0.0028261
0.2%
0.0028381
0.2%
0.0028661
0.2%
0.0028871
0.2%
0.0031391
0.2%
0.0031691
0.2%
0.0032451
0.2%
0.0032651
0.2%
ValueCountFrequency (%)
0.031131
0.2%
0.023331
0.2%
0.021771
0.2%
0.020751
0.2%
0.018351
0.2%
0.017361
0.2%
0.017211
0.2%
0.016041
0.2%
0.015821
0.2%
0.015741
0.2%

compactness_se
Real number (ℝ)

High correlation 

Distinct541
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.025478139
Minimum0.002252
Maximum0.1354
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:31.435109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.002252
5-th percentile0.0078922
Q10.01308
median0.02045
Q30.03245
95-th percentile0.060578
Maximum0.1354
Range0.133148
Interquartile range (IQR)0.01937

Descriptive statistics

Standard deviation0.017908179
Coefficient of variation (CV)0.70288413
Kurtosis5.1062525
Mean0.025478139
Median Absolute Deviation (MAD)0.00876
Skewness1.9022207
Sum14.497061
Variance0.00032070289
MonotonicityNot monotonic
2025-10-16T13:07:31.559166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.018123
 
0.5%
0.011043
 
0.5%
0.02313
 
0.5%
0.01182
 
0.4%
0.0091692
 
0.4%
0.022192
 
0.4%
0.011742
 
0.4%
0.015032
 
0.4%
0.013822
 
0.4%
0.013952
 
0.4%
Other values (531)546
96.0%
ValueCountFrequency (%)
0.0022521
0.2%
0.0030121
0.2%
0.003711
0.2%
0.0037461
0.2%
0.004661
0.2%
0.0046931
0.2%
0.0047111
0.2%
0.0048831
0.2%
0.0048991
0.2%
0.004931
0.2%
ValueCountFrequency (%)
0.13541
0.2%
0.10641
0.2%
0.10061
0.2%
0.098061
0.2%
0.095861
0.2%
0.093681
0.2%
0.088081
0.2%
0.086681
0.2%
0.086061
0.2%
0.085551
0.2%

concavity_se
Real number (ℝ)

High correlation  Zeros 

Distinct533
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.031893716
Minimum0
Maximum0.396
Zeros13
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:31.663386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0032526
Q10.01509
median0.02589
Q30.04205
95-th percentile0.078936
Maximum0.396
Range0.396
Interquartile range (IQR)0.02696

Descriptive statistics

Standard deviation0.03018606
Coefficient of variation (CV)0.94645792
Kurtosis48.861395
Mean0.031893716
Median Absolute Deviation (MAD)0.01248
Skewness5.110463
Sum18.147525
Variance0.00091119824
MonotonicityNot monotonic
2025-10-16T13:07:31.774881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
2.3%
0.021852
 
0.4%
0.016982
 
0.4%
0.01512
 
0.4%
0.014122
 
0.4%
0.026812
 
0.4%
0.023322
 
0.4%
0.035762
 
0.4%
0.020712
 
0.4%
0.038722
 
0.4%
Other values (523)538
94.6%
ValueCountFrequency (%)
013
2.3%
0.0006921
 
0.2%
0.00079291
 
0.2%
0.00097371
 
0.2%
0.0011281
 
0.2%
0.0011841
 
0.2%
0.0014871
 
0.2%
0.0015951
 
0.2%
0.0015971
 
0.2%
0.0018351
 
0.2%
ValueCountFrequency (%)
0.3961
0.2%
0.30381
0.2%
0.15351
0.2%
0.14381
0.2%
0.14351
0.2%
0.12781
0.2%
0.11971
0.2%
0.11661
0.2%
0.11141
0.2%
0.10911
0.2%

concave points_se
Real number (ℝ)

High correlation  Zeros 

Distinct507
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.011796137
Minimum0
Maximum0.05279
Zeros13
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:31.889555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0038308
Q10.007638
median0.01093
Q30.01471
95-th percentile0.022884
Maximum0.05279
Range0.05279
Interquartile range (IQR)0.007072

Descriptive statistics

Standard deviation0.0061702852
Coefficient of variation (CV)0.52307676
Kurtosis5.1263019
Mean0.011796137
Median Absolute Deviation (MAD)0.003485
Skewness1.4446781
Sum6.712002
Variance3.8072419 × 10-5
MonotonicityNot monotonic
2025-10-16T13:07:32.022532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
2.3%
0.011673
 
0.5%
0.01113
 
0.5%
0.014993
 
0.5%
0.018412
 
0.4%
0.011612
 
0.4%
0.011642
 
0.4%
0.010432
 
0.4%
0.012622
 
0.4%
0.01372
 
0.4%
Other values (497)535
94.0%
ValueCountFrequency (%)
013
2.3%
0.0018521
 
0.2%
0.0023861
 
0.2%
0.0024041
 
0.2%
0.0029241
 
0.2%
0.0029411
 
0.2%
0.0031251
 
0.2%
0.0032421
 
0.2%
0.0033331
 
0.2%
0.003391
 
0.2%
ValueCountFrequency (%)
0.052791
0.2%
0.04091
0.2%
0.039271
0.2%
0.034871
0.2%
0.034411
0.2%
0.033221
0.2%
0.030241
0.2%
0.029191
0.2%
0.028531
0.2%
0.028011
0.2%

symmetry_se
Real number (ℝ)

Distinct498
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.020542299
Minimum0.007882
Maximum0.07895
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:32.141799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.007882
5-th percentile0.011758
Q10.01516
median0.01873
Q30.02348
95-th percentile0.034988
Maximum0.07895
Range0.071068
Interquartile range (IQR)0.00832

Descriptive statistics

Standard deviation0.0082663715
Coefficient of variation (CV)0.40240733
Kurtosis7.8961298
Mean0.020542299
Median Absolute Deviation (MAD)0.00393
Skewness2.1951329
Sum11.688568
Variance6.8332898 × 10-5
MonotonicityNot monotonic
2025-10-16T13:07:32.265786image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.013444
 
0.7%
0.020453
 
0.5%
0.018843
 
0.5%
0.014543
 
0.5%
0.016473
 
0.5%
0.018973
 
0.5%
0.019243
 
0.5%
0.015363
 
0.5%
0.01873
 
0.5%
0.019392
 
0.4%
Other values (488)539
94.7%
ValueCountFrequency (%)
0.0078821
0.2%
0.0095391
0.2%
0.0099471
0.2%
0.010131
0.2%
0.010291
0.2%
0.010541
0.2%
0.010551
0.2%
0.010571
0.2%
0.010621
0.2%
0.010652
0.4%
ValueCountFrequency (%)
0.078951
0.2%
0.061461
0.2%
0.059631
0.2%
0.056281
0.2%
0.055431
0.2%
0.053331
0.2%
0.051681
0.2%
0.051131
0.2%
0.050141
0.2%
0.047831
0.2%

fractal_dimension_se
Real number (ℝ)

High correlation 

Distinct545
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0037949039
Minimum0.0008948
Maximum0.02984
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:32.377133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.0008948
5-th percentile0.0015216
Q10.002248
median0.003187
Q30.004558
95-th percentile0.0079598
Maximum0.02984
Range0.0289452
Interquartile range (IQR)0.00231

Descriptive statistics

Standard deviation0.002646071
Coefficient of variation (CV)0.69726956
Kurtosis26.280847
Mean0.0037949039
Median Absolute Deviation (MAD)0.001074
Skewness3.9239686
Sum2.1593003
Variance7.0016916 × 10-6
MonotonicityNot monotonic
2025-10-16T13:07:32.501289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0022562
 
0.4%
0.0022052
 
0.4%
0.0026652
 
0.4%
0.0030092
 
0.4%
0.0019562
 
0.4%
0.0019062
 
0.4%
0.0025512
 
0.4%
0.0028012
 
0.4%
0.0018922
 
0.4%
0.0033182
 
0.4%
Other values (535)549
96.5%
ValueCountFrequency (%)
0.00089481
0.2%
0.00095021
0.2%
0.00096831
0.2%
0.0010021
0.2%
0.0010581
0.2%
0.0010871
0.2%
0.0011261
0.2%
0.001181
0.2%
0.0012171
0.2%
0.0012191
0.2%
ValueCountFrequency (%)
0.029841
0.2%
0.022861
0.2%
0.021931
0.2%
0.017921
0.2%
0.012981
0.2%
0.012841
0.2%
0.012561
0.2%
0.012331
0.2%
0.01221
0.2%
0.011781
0.2%

radius_worst
Real number (ℝ)

High correlation 

Distinct457
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.26919
Minimum7.93
Maximum36.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:32.609600image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7.93
5-th percentile10.534
Q113.01
median14.97
Q318.79
95-th percentile25.64
Maximum36.04
Range28.11
Interquartile range (IQR)5.78

Descriptive statistics

Standard deviation4.8332416
Coefficient of variation (CV)0.29707943
Kurtosis0.94408958
Mean16.26919
Median Absolute Deviation (MAD)2.46
Skewness1.1031152
Sum9257.169
Variance23.360224
MonotonicityNot monotonic
2025-10-16T13:07:32.721379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.365
 
0.9%
13.54
 
0.7%
13.344
 
0.7%
13.453
 
0.5%
15.053
 
0.5%
15.113
 
0.5%
16.763
 
0.5%
14.83
 
0.5%
12.43
 
0.5%
16.463
 
0.5%
Other values (447)535
94.0%
ValueCountFrequency (%)
7.931
0.2%
8.6781
0.2%
8.9521
0.2%
8.9641
0.2%
9.0771
0.2%
9.0921
0.2%
9.2621
0.2%
9.4141
0.2%
9.4561
0.2%
9.4731
0.2%
ValueCountFrequency (%)
36.041
0.2%
33.131
0.2%
33.121
0.2%
32.491
0.2%
31.011
0.2%
30.791
0.2%
30.751
0.2%
30.671
0.2%
301
0.2%
29.921
0.2%

texture_worst
Real number (ℝ)

High correlation 

Distinct511
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.677223
Minimum12.02
Maximum49.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:32.956268image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum12.02
5-th percentile16.574
Q121.08
median25.41
Q329.72
95-th percentile36.3
Maximum49.54
Range37.52
Interquartile range (IQR)8.64

Descriptive statistics

Standard deviation6.1462576
Coefficient of variation (CV)0.23936613
Kurtosis0.22430187
Mean25.677223
Median Absolute Deviation (MAD)4.33
Skewness0.49832131
Sum14610.34
Variance37.776483
MonotonicityNot monotonic
2025-10-16T13:07:33.087300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.73
 
0.5%
27.263
 
0.5%
27.662
 
0.4%
28.142
 
0.4%
30.732
 
0.4%
28.072
 
0.4%
27.782
 
0.4%
23.582
 
0.4%
33.172
 
0.4%
17.042
 
0.4%
Other values (501)547
96.1%
ValueCountFrequency (%)
12.021
0.2%
12.491
0.2%
12.871
0.2%
14.11
0.2%
14.21
0.2%
14.821
0.2%
15.381
0.2%
15.41
0.2%
15.541
0.2%
15.641
0.2%
ValueCountFrequency (%)
49.541
0.2%
47.161
0.2%
45.411
0.2%
44.871
0.2%
42.791
0.2%
41.851
0.2%
41.781
0.2%
41.611
0.2%
40.681
0.2%
40.541
0.2%

perimeter_worst
Real number (ℝ)

High correlation 

Distinct514
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.26121
Minimum50.41
Maximum251.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:33.197753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum50.41
5-th percentile67.856
Q184.11
median97.66
Q3125.4
95-th percentile171.64
Maximum251.2
Range200.79
Interquartile range (IQR)41.29

Descriptive statistics

Standard deviation33.602542
Coefficient of variation (CV)0.31327767
Kurtosis1.0701497
Mean107.26121
Median Absolute Deviation (MAD)16.87
Skewness1.1281639
Sum61031.63
Variance1129.1308
MonotonicityNot monotonic
2025-10-16T13:07:33.290059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
117.73
 
0.5%
105.93
 
0.5%
101.73
 
0.5%
158.82
 
0.4%
119.42
 
0.4%
1062
 
0.4%
95.292
 
0.4%
101.22
 
0.4%
100.92
 
0.4%
85.072
 
0.4%
Other values (504)546
96.0%
ValueCountFrequency (%)
50.411
0.2%
54.491
0.2%
56.651
0.2%
57.171
0.2%
57.261
0.2%
58.081
0.2%
58.361
0.2%
59.161
0.2%
59.91
0.2%
60.91
0.2%
ValueCountFrequency (%)
251.21
0.2%
229.31
0.2%
220.81
0.2%
2141
0.2%
211.71
0.2%
211.51
0.2%
206.81
0.2%
2061
0.2%
205.71
0.2%
202.41
0.2%

area_worst
Real number (ℝ)

High correlation 

Distinct544
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean880.58313
Minimum185.2
Maximum4254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:33.398318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum185.2
5-th percentile331.06
Q1515.3
median686.5
Q31084
95-th percentile2009.6
Maximum4254
Range4068.8
Interquartile range (IQR)568.7

Descriptive statistics

Standard deviation569.35699
Coefficient of variation (CV)0.64656814
Kurtosis4.3963948
Mean880.58313
Median Absolute Deviation (MAD)215.6
Skewness1.8593733
Sum501051.8
Variance324167.39
MonotonicityNot monotonic
2025-10-16T13:07:33.528932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
698.82
 
0.4%
808.92
 
0.4%
826.42
 
0.4%
624.12
 
0.4%
12102
 
0.4%
708.82
 
0.4%
546.72
 
0.4%
4582
 
0.4%
16232
 
0.4%
12692
 
0.4%
Other values (534)549
96.5%
ValueCountFrequency (%)
185.21
0.2%
223.61
0.2%
240.11
0.2%
242.21
0.2%
2481
0.2%
249.81
0.2%
259.21
0.2%
268.61
0.2%
2701
0.2%
273.91
0.2%
ValueCountFrequency (%)
42541
0.2%
34321
0.2%
32341
0.2%
32161
0.2%
31431
0.2%
29441
0.2%
29061
0.2%
27821
0.2%
26421
0.2%
26151
0.2%

smoothness_worst
Real number (ℝ)

High correlation 

Distinct411
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13236859
Minimum0.07117
Maximum0.2226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:33.629768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.07117
5-th percentile0.095734
Q10.1166
median0.1313
Q30.146
95-th percentile0.17184
Maximum0.2226
Range0.15143
Interquartile range (IQR)0.0294

Descriptive statistics

Standard deviation0.022832429
Coefficient of variation (CV)0.17249129
Kurtosis0.51782519
Mean0.13236859
Median Absolute Deviation (MAD)0.0147
Skewness0.415426
Sum75.31773
Variance0.00052131983
MonotonicityNot monotonic
2025-10-16T13:07:33.741183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.14014
 
0.7%
0.13124
 
0.7%
0.12564
 
0.7%
0.14154
 
0.7%
0.12164
 
0.7%
0.12344
 
0.7%
0.12234
 
0.7%
0.12754
 
0.7%
0.13474
 
0.7%
0.11993
 
0.5%
Other values (401)530
93.1%
ValueCountFrequency (%)
0.071171
0.2%
0.081251
0.2%
0.084091
0.2%
0.084841
0.2%
0.085671
0.2%
0.087741
0.2%
0.087991
0.2%
0.088221
0.2%
0.088641
0.2%
0.089491
0.2%
ValueCountFrequency (%)
0.22261
0.2%
0.21841
0.2%
0.20981
0.2%
0.20061
0.2%
0.19091
0.2%
0.19021
0.2%
0.18831
0.2%
0.18781
0.2%
0.18731
0.2%
0.18621
0.2%

compactness_worst
Real number (ℝ)

High correlation 

Distinct529
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.25426504
Minimum0.02729
Maximum1.058
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:33.852576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.02729
5-th percentile0.071196
Q10.1472
median0.2119
Q30.3391
95-th percentile0.56412
Maximum1.058
Range1.03071
Interquartile range (IQR)0.1919

Descriptive statistics

Standard deviation0.15733649
Coefficient of variation (CV)0.6187893
Kurtosis3.0392882
Mean0.25426504
Median Absolute Deviation (MAD)0.0871
Skewness1.4735549
Sum144.67681
Variance0.024754771
MonotonicityNot monotonic
2025-10-16T13:07:33.963883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.14863
 
0.5%
0.34163
 
0.5%
0.17882
 
0.4%
0.2552
 
0.4%
0.098662
 
0.4%
0.19632
 
0.4%
0.1652
 
0.4%
0.18222
 
0.4%
0.40612
 
0.4%
0.30892
 
0.4%
Other values (519)547
96.1%
ValueCountFrequency (%)
0.027291
0.2%
0.034321
0.2%
0.043271
0.2%
0.046191
0.2%
0.047121
0.2%
0.049531
0.2%
0.050361
0.2%
0.051311
0.2%
0.052131
0.2%
0.052321
0.2%
ValueCountFrequency (%)
1.0581
0.2%
0.93791
0.2%
0.93271
0.2%
0.86811
0.2%
0.86631
0.2%
0.79171
0.2%
0.77251
0.2%
0.75841
0.2%
0.74441
0.2%
0.73941
0.2%

concavity_worst
Real number (ℝ)

High correlation  Zeros 

Distinct539
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.27218848
Minimum0
Maximum1.252
Zeros13
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:34.064895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01836
Q10.1145
median0.2267
Q30.3829
95-th percentile0.68238
Maximum1.252
Range1.252
Interquartile range (IQR)0.2684

Descriptive statistics

Standard deviation0.20862428
Coefficient of variation (CV)0.7664699
Kurtosis1.6152533
Mean0.27218848
Median Absolute Deviation (MAD)0.132
Skewness1.1502368
Sum154.87525
Variance0.04352409
MonotonicityNot monotonic
2025-10-16T13:07:34.159630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
2.3%
0.45043
 
0.5%
0.13773
 
0.5%
0.40242
 
0.4%
0.38532
 
0.4%
0.3632
 
0.4%
0.26442
 
0.4%
0.14232
 
0.4%
0.18042
 
0.4%
0.15642
 
0.4%
Other values (529)536
94.2%
ValueCountFrequency (%)
013
2.3%
0.0018451
 
0.2%
0.0035811
 
0.2%
0.0049551
 
0.2%
0.0055181
 
0.2%
0.0055791
 
0.2%
0.006921
 
0.2%
0.0077321
 
0.2%
0.0079771
 
0.2%
0.010051
 
0.2%
ValueCountFrequency (%)
1.2521
0.2%
1.171
0.2%
1.1051
0.2%
0.96081
0.2%
0.93871
0.2%
0.90341
0.2%
0.90191
0.2%
0.84891
0.2%
0.84881
0.2%
0.84021
0.2%

concave points_worst
Real number (ℝ)

High correlation  Zeros 

Distinct492
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11460622
Minimum0
Maximum0.291
Zeros13
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:34.284194image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.024286
Q10.06493
median0.09993
Q30.1614
95-th percentile0.23692
Maximum0.291
Range0.291
Interquartile range (IQR)0.09647

Descriptive statistics

Standard deviation0.065732341
Coefficient of variation (CV)0.57354949
Kurtosis-0.53553512
Mean0.11460622
Median Absolute Deviation (MAD)0.04457
Skewness0.49261553
Sum65.210941
Variance0.0043207407
MonotonicityNot monotonic
2025-10-16T13:07:34.395266image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
2.3%
0.11053
 
0.5%
0.074313
 
0.5%
0.062963
 
0.5%
0.12183
 
0.5%
0.17083
 
0.5%
0.025643
 
0.5%
0.18273
 
0.5%
0.043063
 
0.5%
0.055563
 
0.5%
Other values (482)529
93.0%
ValueCountFrequency (%)
013
2.3%
0.0087721
 
0.2%
0.0092591
 
0.2%
0.010421
 
0.2%
0.011112
 
0.4%
0.013891
 
0.2%
0.016351
 
0.2%
0.016671
 
0.2%
0.018521
 
0.2%
0.020221
 
0.2%
ValueCountFrequency (%)
0.2911
0.2%
0.29031
0.2%
0.28671
0.2%
0.27561
0.2%
0.27331
0.2%
0.27011
0.2%
0.26881
0.2%
0.26851
0.2%
0.26541
0.2%
0.2651
0.2%

symmetry_worst
Real number (ℝ)

High correlation 

Distinct500
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.29007557
Minimum0.1565
Maximum0.6638
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:34.491586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.1565
5-th percentile0.2127
Q10.2504
median0.2822
Q30.3179
95-th percentile0.40616
Maximum0.6638
Range0.5073
Interquartile range (IQR)0.0675

Descriptive statistics

Standard deviation0.061867468
Coefficient of variation (CV)0.21328052
Kurtosis4.4445595
Mean0.29007557
Median Absolute Deviation (MAD)0.0342
Skewness1.4339278
Sum165.053
Variance0.0038275835
MonotonicityNot monotonic
2025-10-16T13:07:34.595625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.23693
 
0.5%
0.31093
 
0.5%
0.23833
 
0.5%
0.22263
 
0.5%
0.31963
 
0.5%
0.29723
 
0.5%
0.25572
 
0.4%
0.27412
 
0.4%
0.2512
 
0.4%
0.24342
 
0.4%
Other values (490)543
95.4%
ValueCountFrequency (%)
0.15651
0.2%
0.15661
0.2%
0.16031
0.2%
0.16481
0.2%
0.16521
0.2%
0.17121
0.2%
0.17832
0.4%
0.18111
0.2%
0.18591
0.2%
0.1891
0.2%
ValueCountFrequency (%)
0.66381
0.2%
0.57741
0.2%
0.55581
0.2%
0.5441
0.2%
0.51661
0.2%
0.48821
0.2%
0.48631
0.2%
0.48241
0.2%
0.47611
0.2%
0.47531
0.2%

fractal_dimension_worst
Real number (ℝ)

High correlation 

Distinct535
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.083945817
Minimum0.05504
Maximum0.2075
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2025-10-16T13:07:34.692613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.05504
5-th percentile0.062558
Q10.07146
median0.08004
Q30.09208
95-th percentile0.11952
Maximum0.2075
Range0.15246
Interquartile range (IQR)0.02062

Descriptive statistics

Standard deviation0.018061267
Coefficient of variation (CV)0.21515387
Kurtosis5.2446106
Mean0.083945817
Median Absolute Deviation (MAD)0.00986
Skewness1.6625793
Sum47.76517
Variance0.00032620938
MonotonicityNot monotonic
2025-10-16T13:07:34.782879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.074273
 
0.5%
0.087012
 
0.4%
0.1032
 
0.4%
0.079872
 
0.4%
0.12972
 
0.4%
0.076232
 
0.4%
0.064692
 
0.4%
0.083682
 
0.4%
0.077222
 
0.4%
0.086332
 
0.4%
Other values (525)548
96.3%
ValueCountFrequency (%)
0.055041
0.2%
0.055211
0.2%
0.055251
0.2%
0.056951
0.2%
0.057371
0.2%
0.058431
0.2%
0.058651
0.2%
0.058711
0.2%
0.059051
0.2%
0.059321
0.2%
ValueCountFrequency (%)
0.20751
0.2%
0.1731
0.2%
0.14861
0.2%
0.14461
0.2%
0.14311
0.2%
0.14091
0.2%
0.14051
0.2%
0.14031
0.2%
0.14021
0.2%
0.13641
0.2%

Unnamed: 32
Unsupported

Missing  Rejected  Unsupported 

Missing569
Missing (%)100.0%
Memory size4.6 KiB

Interactions

2025-10-16T13:07:24.403051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-16T13:06:03.583977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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